What is Bagging (Bootstrap Aggregation)?
Ensemble machine learning can be mainly categorized into bagging and boosting. The bagging technique is useful for both regression and statistical classification. Bagging is used with decision trees, where it significantly raises the stability of models in the reduction of variance and improving accuracy, which eliminates the challenge of overfitting.続きを読む »